Signal Processing

Signal Processing

Our research underpins many seemingly unrelated real-world applications through fundamental modelling and optimal processing of signals. Understanding the early universe through cosmic background radiation, medical image synthesis and analysis of the human brain, and planetary science have in common signals that can be represented on a sphere and processed optimally by exploiting their inherent structures. We conduct fundamental research on spherical signals to propose novel models and methods that can deal with very large data sets and enable real-time low-complexity processing of such signals.

For better understanding of biological systems and processes, we identify and optimise signal processing model parameters from both natural and synthetic data measurements. Through theoretical and computer modelling, we can accurately predict and improve the behaviour of natural and artificial biological systems and agents, limiting the need to conduct expensive in-vivo and in-vitro experiments.

We also develop unique signal processing techniques for data communications over wired and wireless networks. Our focus is on improving signal transmission and reception techniques to enable the optimal use of limited system resources such as energy, bandwidth, and computational power and memory.

Explore our available student research projects below and if you’d like to discuss opportunities for collaboration or funding, please email us.

Academic staff

Assoc Professor Glenn Dickins »

Architect of Convergence, Dolby Laboratories

Dr Artem Lenskiy »

Fellow Academic

Assoc. Prof. Nan Yang »

Associate Professor


Mr Daniel Heonki Chae

Mr Daniel Heonki Chae »

PhD Student

Roy Liu

Roy Liu »

PhD Candidate

Mohammad Najafi

Mr Mohammad Najafi »

PhD Student

Placeholder image

Mr Khurram Shahzad »

PhD Candidate

Mr Avinash Upadhya »

PhD Student


Mr Benlian Xu »

Visiting Fellow

Emily Campbell
2 May 2016
As winter sets in, one ANU Engineering student is preparing to turn up the heat in the USA as part of the 2016 Health Sciences and Technology Summer Institute at...
Code Title Semester Offered in 20' Course convener
ENGN4536 Wireless Communications S2 18, 19, 20 Assoc. Prof. Nan Yang
ENGN2228 Signal Processing S2 18, 19, 20 Prof Xiangyun (Sean) Zhou
ENGN2218 Electronic Systems and Design S1 18, 19, 20 Assoc. Professor Salman Durrani
ENGN3213 Digital Systems and Microprocessors S1 18, 19, 20 Dr Jon Kim
ENGN3226 Digital Communications S1 18, 19, 20 Prof Xiangyun (Sean) Zhou

Updated:  1 June 2019/Responsible Officer:  Head of School/Page Contact:  CECS Webmaster